Comprehensive Analysis of Global Resilience (2019-2030) | 253 Countries Assessed
π Most Resilient: Loading... (-)
UTC
--:--
New York
--:--
London
--:--
Paris
--:--
Tokyo
--:--
Sydney
--:--
Dubai
--:--
Singapore
--:--
π Live Data Layers
Resilience Score
0.66+ Excellent
0.60-0.66 Good
0.53-0.60 Moderate
0.45-0.53 Low
<0.45 Critical
No Data
π Data Sources & Methodology
π‘ Live Data Feed
π° Global News (GDELT)
Connecting...
π¦ World Bank Indicators
Connecting...
π° IMF Economic Data
Connecting...
π FRED Economic Indicators
Connecting...
π OECD Statistics
Connecting...
π¬ Reddit Discussions
Loading...
πΉ YouTube Trends
Loading...
π± Financial Markets
Loading...
π Google Trends
Loading...
π°
Financial Resilience
Fiscal sustainability and economic stability
Global Average
0.000
Highest Score
0.000
Country
Lowest Score
0.000
Std Deviation
0.000
π 4 Key Factors Breakdown
π Top 20 Countries
π Regional Comparison
π Evolution Over Time (2019-2030)
Country Name
π Regionπ° Income Level
Overall Score
-
π° Financial
-
π₯ Social
-
ποΈ Institutional
-
ποΈ Infrastructure
-
Global Rank
-
π Performance Timeline (2019-2030)
2019-2025
-
2025-2030
-
Total Change
-
Global Resilience Analytics
π Global Trends (2019-2030)
π Top 20 Most Resilient Countries (2025)
β οΈ Bottom 20 Countries (2025)
π Resilience Pillars Comparison (2025)
π Regional Analysis (2025)
π Score Distribution (2025)
π Top 15 Improvers (2019-2025)
π Top 15 Decliners (2019-2025)
Methodology & Data Sources
Note: This dashboard presents a comprehensive analysis of national resilience across 253 countries worldwide, spanning from 2019 to 2030 (with forecasts from 2025-2030).
π Country Performance Across Key Indices
Select a country to see how it performs across different methodological indices including Gini coefficient, HDI, GDP per capita, and other key indicators.
About the Indices:
Gini Index: Income inequality (0=perfect equality, 100=perfect inequality)
HDI: Human Development Index (0-1, combining health, education, income)
GDP per capita: Economic output per person (normalized)
Government Effectiveness: Quality of public services and policy implementation
Infrastructure Quality: Physical infrastructure development level
1. Data Collection & Sources
The resilience scores are derived from multiple authoritative international data sources:
World Bank Open Data: GDP, Debt, Trade, Infrastructure indicators
International Monetary Fund (IMF): Financial stability metrics
United Nations Development Programme (UNDP): Human Development Index components
World Health Organization (WHO): Health system indicators
World Economic Forum: Competitiveness and infrastructure data
π Live Indices & Indicators Mapped
The following key indices are actively monitored and integrated into the resilience scores:
Economic Indices:
GDP Growth Rate (World Bank)
Debt-to-GDP Ratio (IMF)
Foreign Direct Investment (UNCTAD)
Trade Balance (WTO)
Social Indices:
Gini Coefficient (World Bank)
Human Development Index (UNDP)
Life Expectancy (WHO)
Literacy Rate (UNESCO)
Governance Indices:
Government Effectiveness (WGI)
Rule of Law Index (WGI)
Corruption Perception Index (TI)
Political Stability Index (WGI)
Infrastructure Indices:
Infrastructure Quality (WEF)
Internet Penetration (ITU)
Energy Access (IEA)
Transport Connectivity (WB)
Data Update Frequency: Indicators are updated annually from official sources. All times displayed in DST (Daylight Saving Time). Latest data reflects 2025 values with forecasts through 2030.
2. Resilience Framework
National resilience is measured through four interconnected pillars, each contributing 25% to the overall score:
π° Financial Resilience (25%)
Fiscal sustainability and debt management
Foreign exchange reserves
Banking sector stability
Economic diversification
π₯ Social Resilience (25%)
Education access and quality
Healthcare system capacity
Income equality (Gini coefficient)
Social safety nets
ποΈ Institutional Resilience (25%)
Government effectiveness
Rule of law and regulatory quality
Control of corruption
Political stability
ποΈ Infrastructure Resilience (25%)
Physical infrastructure quality
Digital connectivity
Energy security
Transportation networks
3. Score Calculation
Each indicator is normalized to a 0-1 scale using min-max normalization:
Score = (Value - Min) / (Max - Min)
Pillar scores are calculated as the average of their component indicators. The overall resilience score is the arithmetic mean of all four pillars.
4. Forecasting Methodology (2025-2030)
Future projections employ two sophisticated statistical models:
Bayesian Structural Time Series (BSTS): Captures trend, seasonality, and structural changes
Dynamic Factor Model (DFM): Accounts for common factors and cross-country correlations
Forecasts incorporate:
Historical trends (2019-2024)
Cyclical patterns
Structural breaks (e.g., COVID-19 impact)
Regional spillovers
5. Classification Thresholds
Score Range
Classification
Interpretation
0.66 - 1.00
β Excellent
Highly resilient, strong capacity to absorb shocks
0.60 - 0.66
β Good
Above-average resilience, capable of managing disruptions
0.53 - 0.60
β Moderate
Moderate resilience, vulnerable to significant shocks